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Transmission Tower Tilt Angle On-Line Prognosis by Using Solar-Powered LoRa Sensor Node and Sliding XGBoost Predictor

机译：通过使用太阳能LORA传感器节点和滑动XGBoost预测器，传输塔倾斜角度在线预后

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Luqiang Shi; Yigang He; Bing Li; Tongtong Cheng; Yuan Huang; Yongbo Sui;
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2. SS-XGBoost: A Machine Learning Framework for Predicting Newmark Sliding Displacements of Slopes [J] . Mao-Xin Wang, Duruo Huang, Gang Wang, Journal of geotechnical and geoenvironmental engineering . 2020,第9期

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4. Cooperative transmission scheme with inactive node reactivation condition for solar-powered wireless sensor networks [C] . Ota Kentaro, Kobayashi Kentaro, Yamazato Takaya, Personal Indoor and Mobile Radio Communications (PIMRC), 2011 IEEE 22nd International Symposium on . 2011

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5. On-line machinery health diagnosis and prognosis for predictive maintenance and quality assurance of equipment functioning. [D] . Suh, Jaehong. 2001

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6. Vibration Anatomy and Damage Detection in Power Transmission Towers with Limited Sensors [O] . R. Karami-Mohammadi, M. Mirtaheri, M. Salkhordeh, 2020

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7. EXPERIMENTAL STUDY OF MECHANICAL BEHAVIOUR OF ANGLES IN TRANSMISSION TOWERS UNDER FREEZING TEMPERATURE [O] . 2018

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Transmission Tower Tilt Angle On-Line Prognosis by Using Solar-Powered LoRa Sensor Node and Sliding XGBoost Predictor

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